Monitoring for Rare Events in a Wireless Powered Communication mmWave Sensor Network.

Michael Koutsioumpos, Evangelos Zervas, Efstathios Hadjiefthymiades, Lazaros Merakos

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.3field-weighted citation impact, top 44% of its field

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

A Comprehensive Study of Event Detection in WPCN Networks with Noisy Measurements.Sensors (Basel, Switzerland) · 2022
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Michael KoutsioumposDeptament of Informatics and Telecommunications, National and Kapodistrian University of Athens, 157 72 Athens, Greece.

Evangelos ZervasDeptament of Electrical and Electronics Engineering, University of West Attica, 122 44 Egaleo, Greece.

Efstathios HadjiefthymiadesDeptament of Informatics and Telecommunications, National and Kapodistrian University of Athens, 157 72 Athens, Greece.

Lazaros MerakosDeptament of Informatics and Telecommunications, National and Kapodistrian University of Athens, 157 72 Athens, Greece.

National and Kapodistrian University of Athens · GRUniversity of West Attica · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of a wireless sensor network to monitor an area of interest for possible hazardous events has become a common practice. The difficulty of replacing or recharging sensor batteries dictates the use of energy harvesting as a means to extend the network's lifetime. To this end, energy beamforming is used in a millimeter wave wireless power sensor network with randomly deployed nodes. A simple protocol is proposed that allows nodes to report their charging conditions in an effort to select efficient energy-beamforming strategies. Analytical expressions for the probability of successful information reception and successful reporting are provided for two benchmark schemes: the random and the circular energy-beamforming scheme. A Markov chain is used for the former to model the energy level of sensor nodes. Simple sector selection strategies are presented and their performance, in terms of delay and failure information delivery, is assessed through simulations.

Indexed as

energy beamformingmmWave sensor networkwireless powered communication network (WPCN)

Identifiers

PMID32545537

DOI10.3390/s20123341

PMCPMC7348722

OpenAlexW3035712540

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.